LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System
Summary: LANNS: an end-to-end web-scale ANN lookup system that scales beyond HNSW for large, high-dimensional data (50–2048D, ~180M points). In production, it delivers top-K (100–200) with a few ms latency and ~2.5k QPS per node. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ishita Doshi
- 2. Dhritiman Das
- 3. Ashish Bhutani
- 4. Rajeev Kumar
- 5. Rushi Bhatt
- 6. Niranjan Balasubramanian
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,690 | Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment | 2024 | SIGMOD | 8.293714e-05 |
| 7,316 | Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes | 2024 | VLDB | 4.7640297e-05 |
| 7,837 | GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces | 2025 | VLDB | 4.6379694e-05 |
| 8,439 | Accelerating Graph Indexing for ANNS on Modern CPUs | 2025 | SIGMOD | 4.5128946e-05 |
| 9,291 | DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search | 2026 | SIGMOD | 4.3619549e-05 |
| 10,287 | RED-ANNS: An RDMA-Enabled Distributed Framework for Graph-Based Approximate Nearest Neighbor Search | 2026 | VLDB | 4.1945683e-05 |
| 10,654 | HAKES: Scalable Vector Database for Embedding Search Service | 2025 | VLDB | 4.1945683e-05 |
| 10,703 | Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,010 | HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces | 2018 | VLDB | 0.00014652858 |
| 1,757 | VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning | 2020 | VLDB | 0.00010660932 |
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